Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

As a Software Development Engineer III for EG Finance AI platform engineering team, you will own the end-to-end technical execution of AI products, from solution design through production scale. This role requires deep hands-on expertise across ML engineering, LLMs, software systems, and AI platforms, with a strong focus on building reusable, scalable AI capabilities.

You will work closely with Product Managers and Engineers to deliver AI systems that are trusted, explainable, and production ready.

This role requires deep hands-on expertise across software engineering, ML, LLMs, and MLOps.

In this role, you will :

- Design and build end-to-end AI products and deployment pipelines.

- Own technical architecture for AI workflows including prompt engineering, RAG, and agentic systems

- Develop and review backend services, APIs, and data pipelines powering AI products

- Translate complex Finance problems into scalable AI system designs

- Ensure AI solutions meet standards for performance, reliability, security, and governance

- Drive production readiness including monitoring, logging, evaluation, and cost control

- Establish best practices for AI development, deployment, and maintenance

- Partner closely with Product and stakeholders to shape technical solutions

Experience and Qualifications :

- Strong hands-on expertise in Python and SQL; Java preferred

- 5+ years of development experience in an enterprise-level engineering environment increasing levels of technical expertise.

- Proven experience building and deploying ML / AI / LLM-powered systems in production

- Deep understanding of prompt engineering, RAG architectures, and agentic workflows

- Experience with modern LLMs and frameworks such as OpenAI, Claude, Gemini, Llama, LangChain, Langflow, LlamaIndex, Semantic Kernel

- Strong software engineering background: API design, distributed systems, system integration

- Experience with data platforms, semantic modeling, and time-series logic

- Good knowledge of Data Structures and Algorithm.

- Solid understanding of cloud-native architectures, containers, and CI/CD pipelines

- Experience with MLOps concepts such as monitoring, evaluation, and lifecycle management

- Understanding of AI security, auditability, and compliance considerations

- Ability to rapidly learn and apply new AI tools and technologies

- AI products are designed and built for adoption across Finance teams

- Systems scale reliably and are reusable across multiple use cases

- AI solutions meet enterprise standards for trust, explainability, and governance

- Technical execution consistently delivers measurable business impact

Please note that this role is only available in the following locations: Gurugram or Bengaluru, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance will be considered for candidates relocating to these locations for this role.